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IPM
2008
155views more  IPM 2008»
15 years 1 months ago
Determining the informational, navigational, and transactional intent of Web queries
In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, na...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
SEMCO
2008
IEEE
15 years 7 months ago
Exploiting Semantic Query Context to Improve Search Ranking
One challenge for relevance ranking in Web search is underspecified queries. For such queries, top-ranked documents may contain information irrelevant to the search goal of the us...
Ziming Zhuang, Silviu Cucerzan
DEXAW
2009
IEEE
139views Database» more  DEXAW 2009»
15 years 8 months ago
Improving Web Page Retrieval Using Search Context from Clicked Domain Names
Abstract—Search context is a crucial factor that helps to understand a user’s information need in ad-hoc Web page retrieval. A query log of a search engine contains rich inform...
Rongmei Li
CIVR
2007
Springer
128views Image Analysis» more  CIVR 2007»
15 years 7 months ago
3D-Model search engine from photos
In this paper, we present the FOX-MIIRE 3D-Model Search Engine. Our search engine is based on Adaptive Views Vlustering (AVC) algorithm [4]. The AVC method uses statistical model ...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Moh...
EACL
2006
ACL Anthology
15 years 2 months ago
Web Text Corpus for Natural Language Processing
Web text has been successfully used as training data for many NLP applications. While most previous work accesses web text through search engine hit counts, we created a Web Corpu...
Vinci Liu, James R. Curran